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---

license: mit
---


This is a pre-trained model (DDPG agent) for **XArm6Reach** simulation task, defined in [here](https://github.com/xArm-Developer/uf-gym). 

You can load and try it with `test_xarm6_reach.py` in the repository.

Hyperparameters:

```python

OrderedDict([

    ('batch_size', 2048),

    ('buffer_size', 1000000),

    ('gamma', 0.95),

    ('learning_rate', 0.001),

    ('learning_starts', 100),

    ('policy', 'MultiInputPolicy'),

    ('policy_kwargs', dict(net_arch=[512, 512, 512], n_critics=2)),

    ('replay_buffer_class', HerReplayBuffer),

    ('replay_buffer_kwargs', dict( goal_selection_strategy='future', n_sampled_goal=4)),

    ('tau', 0.05),

])

```